Rockset
MAY 12, 2022
Similarly, when LinkedIn upgraded its real-time FollowFeed to an ALT data architecture, it boosted query speeds and data retention while slashing the number of servers needed by half. For more details, read my blog post on ALT and why it beats the Lambda architecture for real-time analytics.
Cloudera
SEPTEMBER 15, 2022
A key area of focus for the symposium this year was the design and deployment of modern data platforms. The third element in the process is the connection between the data products and the collection of analytics applications to provide business results. What is a data fabric?
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Cloudera
NOVEMBER 7, 2023
Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Most traditional analytics applications like Hive, Spark, Impala, YARN etc. Please reach out to your Cloudera account team or get in touch with us here.
Cloudera
DECEMBER 1, 2022
Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. I spoke to Mark Ramsey of Ramsey International (RI) to dive deeper into that last subject.
Monte Carlo
MAY 14, 2024
As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. While data platforms have often locked users into specific, proprietary formats, open formats like Iceberg offer a more flexible and modular approach to data architecture.
Rockset
AUGUST 18, 2020
Analysts predict that by 2025 more than 30% of data will be real-time in nature, and by 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions.
Data Science Blog: Data Engineering
NOVEMBER 15, 2023
The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.
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